arXiv Machine Learning July 7, 2026 By Yuan-Bin Zhu, Shuang Qiao, Shi-Ju Ran

Out-of-distribution Neural Inference in Dynamical Ising Models

Read the original on arXiv Machine Learning →

arXiv:2607. 03039v1 Announce Type: new Abstract: Neural networks are increasingly used to infer hidden physical structure from dynamical observations, yet it remains unclear whether their out-of-distribution performance reflects transferable physical rule learning.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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